欢迎你报考郑玉棒老师的研究生，报考有以下方式：
1、参加西南交通大学暑期夏令营活动，提交导师意向时，选择郑玉棒老师，你的所有申请信息将发送给郑玉棒老师，老师看到后将和你取得联系，点击此处参加夏令营活动
2、如果你能获得所在学校的推免生资格，欢迎通过推免方式申请郑玉棒老师研究生，可以通过系统的推免生预报名系统提交申请，并选择意向导师为郑玉棒老师，老师看到信息后将和你取得联系，点击此处推免生预报名
3、参加全国硕士研究生统一招生考试报考郑玉棒老师招收的专业和方向，进入复试后提交导师意向时选择郑玉棒老师。
4、如果你有兴趣攻读郑玉棒老师博士研究生，可以通过申请考核或者统一招考等方式报考该导师博士研究生。
个人信息
郑玉棒，理学博士，硕士生导师，主要研究方向包括高维信号与图像处理，张量建模与智能计算，机器学习及其数学理论等，在国际高水平期刊和会议上发表学术论文30余篇，包括CVPR、AAAI、ISPRS J. Photogramm. Remote Sens.、IEEE Trans. Geosci. Remote Sens.、J. Sci. Comput.、Inverse Probl. Imaging和Inf. Sci.等，入选ESI高被引论文2篇，Google学术引用1100余次。担任国际期刊Optik的Special Issues客座编辑，美国数学评论 (Mathematical Reviews) 评论员、IEEE TPAMI、IJCV、IEEE TIP、IEEE TCI、IEEE TNNLS、IEEE TGRS、IEEE TCSVT、IEEE TNSE、RSE和ISPRS等20余家国际期刊审稿人。曾获2021川渝科技学术大会优秀论文一等奖 (作者排名第一，四川省、重庆市每年各10篇) 、第二届中国图象图形学报研究生学术论坛报告二等奖等荣誉和奖励。主持国家自然科学基金青年项目1项、四川省自然科学基金青年项目1项、中央高校基本业务项目1项，参与国家自然科学基金面上项目3项、四川省应用基础研究重点项目1项、华为项目1项。更多信息参考个人主页：https://yubangzheng.github.io 。
科研项目
国家自然科学基金青年项目，主持，2024.01-2026.12
四川省自然科学基金青年项目，主持，2024.01-2025.12
国家自然科学基金面上项目，参与，2019.01-2022.12，2022.01-2025.12，2024.01-2027.12
学术论文
1. Tian-Yu Ma, Heng-Chao Li*, Yu-Bang Zheng, Qian Du, Antonio Plaza, "Fully Tensorized Lightweight ConvLSTM Neural Networks for Hyperspectral Image Classification", IEEE Transactions on Neural Networks and Learning Systems, DOI:10.1109/TNNLS.2024.3511575, pp. 1-15, 2025.
2. Shi-Jun Yang, Yu-Bang Zheng*, Heng-Chao Li, Yong Chen, Qing Zhu, "Spectral–Temporal Consistency Prior for Cloud Removal From Remote Sensing Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 63, art no. 5400212, pp. 1-12, 2025.
1. Yu-Bang Zheng, Xi-Le Zhao*, Junhua Zeng, Chao Li, Qibin Zhao, Heng-Chao Li, Ting-Zhu Huang, "SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective", Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 26254-26263, 2024. [PDF] (Poster-Highlight, 11.9% of Accepted Papers)
2. Jia-Jie Yin, Heng-Chao Li, Yu-Bang Zheng*, Gui Gao, Yuxin Hu, Ran Tao, "Spatial-Temporal Weighted and Regularized Tensor Model for Infrared Dim and Small Target Detection", IEEE Transactions on Geoscience and Remote Sensing, vol. 62, art no. 5005317, pp. 1-17, 2024.
3. Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Ting-Zhu Huang, "Provable Stochastic Algorithm for Large-Scale Fully-Connected Tensor Network Decomposition", Journal of Scientific Computing, vol. 98, art no. 16, pp. 1-27, 2024.
4. Yong Chen, Maolin Chen, Wei He, Jinshan Zeng, Min Huang, Yu-Bang Zheng, "Thick Cloud Removal in Multitemporal Remote Sensing Images via Low-Rank Regularized Self-Supervised Network", IEEE Transactions on Geoscience and Remote Sensing, vol. 62, art no. 5506613, pp. 1-13, 2024.
2023
1. Li-Yuan Li, Ting-Zhu Huang*, Yu-Bang Zheng*, Wen-Jie Zheng, Jie Lin, Guo-Cheng Wu, Xi-Le Zhao, "Thick Cloud Removal for Multitemporal Remote Sensing Images: When Tensor Ring Decomposition Meets Gradient Domain Fidelity", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, art no. 5512414, pp. 1-14, 2023. [PDF]
2. Yu-Le Wei, Yu-Bang Zheng*, Rui Wang, Heng-Chao Li, "Quaternion Convolutional Neural Network with EMAP Representation for Multisource Remote Sensing Data Classification", IEEE Geoscience and Remote Sensing Letters, 2023.
3. Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng, Jie Lin, Lina Zhuang, Ting-Zhu Huang, "Spatial-Spectral-Temporal Connective Tensor Network Decomposition for Thick Cloud Removal", ISPRS Journal of Photogrammetry and Remote Sensing, vol. 199, pp. 182-194, 2023. [PDF] [Code]
4. Yun-Yang Liu, Xi-Le Zhao*, Guang-Jin Song, Yu-Bang Zheng, Michael K. Ng, Ting-Zhu Huang, "Fully-Connected Tensor Network Decomposition for Robust Tensor Completion Problem", Inverse Problems and Imaging, 2023.
5. Hao Zhang, Ting-Zhu Huang*, Xi-Le Zhao*, Wei He, Jae Kyu Choi, Yu-Bang Zheng, "Hyperspectral Image Denoising: Reconciling Sparse and Low-Tensor-Ring-Rank Priors in the Transformed Domain", IEEE Transactions on Geoscience and Remote Sensing, vol. 61, art no. 5502313, pp. 1-13, 2023.
6. Peng-Ling Wu, Xi-Le Zhao*, Meng Ding, Yu-Bang Zheng, Lu-Bin Cui, Ting-Zhu Huang, "Tensor Ring Decomposition-Based Model with Interpretable Gradient Factors Regularization for Tensor Completion", Knowledge-Based Systems, vol. 259, pp. 110094, 2023.
7. Peng-Ling Wu, Meng Ding*, Yu-Bang Zheng, "Spatiotemporal Traffic Data Imputation by Synergizing Low Tensor Ring Rank and Nonlocal Subspace Regularization", IET Intelligent Transport Systems, 2023.
1. Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Qibin Zhao, "Tensor Completion via Fully-Connected Tensor Network Decomposition with Regularized Factors", Journal of Scientific Computing, vol. 92, art no. 8, pp. 1-35, 2022. [PDF] [Code]
2. Wen-Jie Zheng, Xi-Le Zhao*, Yu-Bang Zheng*, Zhi-Feng Pang, "Nonlocal Patch-Based Fully-Connected Tensor Network Decomposition for Multispectral Image Inpainting", IEEE Geoscience and Remote Sensing Letters, vol. 19, art no. 8025105, pp. 1-5, 2022. [PDF] [Code]
3. Yun-Yang Liu, Xi-Le Zhao*, Yu-Bang Zheng, Tian-Hui Ma, Hongyan Zhang, "Hyperspectral Image Restoration by Tensor Fibered Rank Constrained Optimization and Plug-and-Play Regularization", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, art no. 5500717, pp. 1-17, 2022. [Code] (ESI Highly Cited Paper)
4. Yu-Chun Miao, Xi-Le Zhao*, Xiao Fu*, Jian-Li Wang, Yu-Bang Zheng, "Hyperspectral Denoising Using Unsupervised Disentangled Spatiospectral Deep Priors", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, art no. 5513916, pp. 1-16, 2022.
5. Wei-Hao Wu, Ting-Zhu Huang*, Xi-Le Zhao*, Jian-Li Wang, Yu-Bang Zheng, "Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial-Spectral Prior", IEEE Transactions on Geoscience and Remote Sensing, vol. 60, art no. 5545514, pp. 1-14, 2022.
1. Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Qibin Zhao, Tai-Xiang Jiang, "Fully-Connected Tensor Network Decomposition and Its Application to Higher-Order Tensor Completion", in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2021), vol. 35, no. 12, pp. 11071-11078, 2021. [PDF] [Material] [Slide] [Poster] [Code]
2. Xin Li, Ting-Zhu Huang*, Xi-Le Zhao*, Teng-Yu Ji, Yu-Bang Zheng, Liang-Jian Deng, "Adaptive Total Variation and Second-Order Total Variation-Based Model for Low-Rank Tensor Completion", Numerical Algorithms, vol. 86, pp. 1-24, 2021.
3. Lin Guo, Xi-Le Zhao*, Xian-Ming Gu, Yong-Liang Zhao, Yu-Bang Zheng, Ting-Zhu Huang, "Three-Dimensional Fractional Total Variation Regularized Tensor Optimized Model for Image Deblurring", Applied Mathematics and Computation, vol. 404, pp. 126224, 2021.
4. Jie Lin, Ting-Zhu Huang*, Xi-Le Zhao, Tian-Hui Ma, Tai-Xiang Jiang, Yu-Bang Zheng, "A Novel Non-Convex Low-Rank Tensor Approximation Model for Hyperspectral Image Restoration", Applied Mathematics and Computation, vol. 408, pp. 126342, 2021.
5. Yisi Luo, Xi-Le Zhao*, Tai-Xiang Jiang, Yu-Bang Zheng, Yi Chang, "Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Unsupervised Deep Image Prior", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 9435-9449, 2021.
1. Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Tai-Xiang Jiang, Tian-Hui Ma, Teng-Yu Ji, "Mixed Noise Removal in Hyperspectral Image via Low-Fibered-Rank Regularization", IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 1, pp. 734-749, 2020. [PDF] [Code] (ESI Highly Cited Paper)
2. Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Yong Chen, Wei He, "Double-Factor-Regularized Low-Rank Tensor Factorization for Mixed Noise Removal in Hyperspectral Image", IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 12, pp. 8450-8464, 2020. [PDF] [Code]
3. Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Tai-Xiang Jiang, Teng-Yu Ji, Tian-Hui Ma, "Tensor N-tubal Rank and Its Convex Relaxation for Low-Rank Tensor Recovery", Information Sciences, vol. 532, pp. 170-189, 2020. [PDF] [Code]
1. Yu-Bang Zheng, Ting-Zhu Huang*, Teng-Yu Ji, Xi-Le Zhao*, Tai-Xiang Jiang, Tian-Hui Ma, "Low-Rank Tensor Completion via Smooth Matrix Factorization", Applied Mathematical Modelling, vol. 70, pp. 677-695, 2019. [PDF] [Code]
2. Yu-Bang Zheng, Ting-Zhu Huang*, Xi-Le Zhao*, Tai-Xiang Jiang, Jie Huang, "Hyperspectral Image Denoising via Convex Low-Fibered-Rank Regularization", in IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2019, pp. 222-225. (Oral) [Slide] [Code]
3. Xiao-Tong Li, Xi-Le Zhao*, Tai-Xiang Jiang, Yu-Bang Zheng, Teng-Yu Ji, Ting-Zhu Huang, "Low-Rank Tensor Completion via Combined Non-local Self-Similarity and Low-Rank Regularization", Neurocomputing, vol. 367, pp. 1-12, 2019.
4. Jian-Li Wang, Ting-Zhu Huang*, Xi-Le Zhao*, Jie Huang, Tian-Hui Ma, Yu-Bang Zheng, "Reweighted Block Sparsity Regularization for Remote Sensing Images Destriping", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 12, pp. 4951-4963, 2019. [Code]
5. Tian Lu, Xi-Le Zhao*, Yu-Bang Zheng, Meng Ding, Xiao-Tong Li, "Tensor Completion via Global Low-Tubal-Rankness and Nonlocal Self-Similarity", in IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2019, pp. 1-5. (Oral)
获奖情况
2021川渝科技学术大会优秀论文一等奖，四川省/重庆市科学技术协会，2021，(郑玉棒，黄廷祝，赵熙乐，陈勇)
第二届中国图象图形学报研究生学术论坛报告二等奖，中国图象图形学报，2022，(郑玉棒)
博士研究生国家奖学金，电子科技大学，2020，(郑玉棒)
四川省优秀毕业生，电子科技大学，2023，(郑玉棒)
学术新秀，电子科技大学，2021，(郑玉棒)
学术活动
Optik (Special Issues–Recent Trends of Math and Deep Modeling in Multi-Dimensional Image Recovery: Theory, Models, Algorithms, and Applications), 客座编辑
Mathematical Reviews, 评论员
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 审稿人
IEEE Transactions on Image Processing (IEEE TIP), 审稿人
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 审稿人
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 审稿人
IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), 审稿人
IEEE Transactions on Network Science and Engineering (IEEE TNSE), 审稿人
Copyright © 2019 西南交通大学. All Rights Reserved.蜀ICP备05026985号
犀浦校区地址：中国四川省成都市郫都区犀安路 999 号 邮编：611756
川公网安备51010602000061号
技术支持：信息化与网络管理处
